A hybrid autoencoder-random forest framework for open-set recognition of sensor and communication faults in a variable refrigerant flow system with real-time deployment analysis

Energy 2026

View at publisher

Authors: Muhammad Reshaeel, Mohamed. I. Hassan Ali

DOI: 10.1016/j.energy.2026.141403

Cited by: 1

References: 32

Fields of Study & Subjects

Anomaly Detection Techniques and Applications Fault Detection and Control Systems Time Series Analysis and Forecasting

References 32